V2 Strategic Advisors - Databricks Senior Data & AI Engineer
Requirements
• Platform mastery. Databricks depth that is real and demonstrable. Proficiency across Delta Lake, Unity Catalog, DLT, Databricks SQL, and Spark. Databricks Certifications (especially Data Engineer Professional and ML Engineer Professional) are strongly preferred. • End-to-end engineering. You've built pipelines, governed data platforms, and designed Lakehouse architectures in production environments. • AI integration experience. Hands-on experience integrating LLMs, building RAG pipelines, and deploying AI-powered solutions using Databricks. • Consulting or professional services instincts. You understand how consulting engagements work and have experience with scoping, client communication, delivery under pressure, and building trust with senior stakeholders. • Broad data platform fluency. Experience with cloud platforms (Azure, AWS, or GCP) and familiarity with adjacent data technologies, including Snowflake, Salesforce Data Cloud, or dbt, is a differentiator. • Cultural alignment. You operate with speed and agility and enjoy fast-paced, entrepreneurial environments.
Benefits
• Because you won't find another firm doing exactly what we do, and you won't find another role like this one. You'll be close to the action, building something real, with people who care deeply about doing exceptional work. V2 was built on the idea that consulting could be done better. We're still proving it every day. • If you're ready to bring the voltage, we want to hear from you. • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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